Open Access
Subscription Access
Open Access
Subscription Access
Prediction of Dynamic Parameters in Turning of Aluminum Metal Matrix Nano Composite by Using Constitutive Models and FEA
Subscribe/Renew Journal
The present investigation mainly focused on prediction of cutting parameters in turning of aluminum metal matrix nanocomposite (AMMNC) by using constitutive models based on experimental values. The composite is prepared by reinforcing the multiwall carbon nanotubes (wt. % 2) with aluminum 7075 using stir casting method. The turning experiments are conducted on work material according to Taguchi experimental design (L16) for different speed, feed and depth of cut combinations and the output responses cutting force, thrust force and temperatures are recorded. Afterward, the dynamic parameters such as strain, strain rate, temperature and tool chip interfacial friction are calculated using Oxley’s model based on orthogonal experimental values and flow stress is determined by JC model using the values obtained from Oxley’s model. Finally, FEM simulations have been performed using 2D-Deform software. The flow stress, temperature, and tool chip interfacial friction are obtained from 2D-Deform software, which is compared with the results obtained from constitutive models and found that comparison is satisfactory.
Keywords
Dynamic Parameters, AMMNC, Oxley’s Model, JC Model.
User
Subscription
Login to verify subscription
Font Size
Information
- Childs, T. H. C. (1998). Material property needs in modeling metal machining. Proceedings of the CIRP International Workshop on Modeling of Machining Operations, Atlanta, Georgia, USA, 193–202.
- Dusunceli, N., Colak, O. U., & Filiz, C. (2010). Determination of material parameters of a viscoplastic model by genetic algorithm. Materials and Design, 31(3), 1250-1255. doi:10.1016/j.matdes.2009.09.023
- Ghose, J., Sharma, V., Kumar, N., Krishnamurthy, A., Kumar, S., & Botak, Z. (2011). Taguchi fuzzy-based mapping of EDM-machinability of aluminum foam. Technical Gazette, 18(4), 595-600.
- Gurbuz, H., Kurt, A., Ciftci, I., & Seker, U. (2011). The Influence of Chip Breaker Geometry on Tool Stresses in Turning. Strojniškivestnik– Journal of Mechanical Engineering, 57(2), 91-99. doi:10.5545/sv-jme.2009.191
- Hamann, J. C., Grolleau, V., & Le Maitre, F. (1996). Machinability improvement of steels at high cutting speeds – the study of tool/work material interaction. CIRP Annals, 45, 87–92.
- Johnson, G. R., & Cook, W. H. (1983). A constitutive model and data for metals subjected to large strains, high strain rates, and high temperatures. Proceedings of the 7th International Symposium on Ballistics. The Hague, The Netherlands, 541–547.
- Khan, A. S., Suh, Y. S., & Kazmi, R. (2004). Quasi-static and dynamic loading responses and constitutive modelling of titanium alloys. International Journal of Plasticity, 20(12), 2233-2248. doi:10.1016/j.ijplas.2003.06.005
- Lee, W. S., & Lin, C. F. (1998). High-temperature deformation behavior of Ti6Al4V alloy evaluated by high strain rate compression tests. Journal of Materials Processing Technology, 75(1-3), 127-136. doi:10.1016/S0924-0136(97)00302-6
- Lesuer, D. R. (2000). Experimental investigations of material models for Ti-6Al-4V titanium and 2024-T3 aluminum. Final Report, DOT/FAA/AR-00/2, US Department of Transportation, Federal Aviation Administration.
- Meyer Jr., H. W., & Kleponis, D. S. (2001). Modeling the high strain rate behavior of titanium undergoing ballistic impact and penetration. International Journal of Impact Engineering, 26, 509–521.
- Motorcu, A. R. (2010). The Optimization of Machining Parameters Using the Taguchi Method for Surface Roughness of AISI 8660 Hardened Alloy Steel. Strojniškivestnik– Journal of Mechanical Engineering, 56(6), 391-401.
- Mousavi Anijdan, S. H., Madaah-Hosseini, H. R., & Bahrami, A. (2007). Flow stress optimization for 304 stainless steel under cold and warm compression by artificial neural network and genetic algorithm. Materials, and Design, 28(2), 609-615. doi:10.1016/j.matdes.2005.07.018
- Oxley, P. L. B. (1989). Mechanics of Machining - an Analytical Approach to Assessing Machinability. Ellis Horwood Limited.
- Özel, T., & Altan, T. (2000). Determination of workpiece flow stress and friction at the chip-tool contact for high-speed cutting. International Journal of Machine Tools and Manufacture, 40(1), 133–152.
- Ozel, T., & Karpat, Y. (2007). Identification of constitutive material model parameters for high strain rate metal cutting conditions using evolutionary computational algorithms. Materials and Manufacturing Processes, 22(5), 659-667. doi:10.1080/10426910701323631
- Shatla, M., & Kerk, C. T. (2001). Altan Process modeling in machining - Part I: Determination of flow stress data. International Journal of Machine Tools and Manufacture. 41, 1511–1534.
- Tay, A. O., Stevenson, M. G., & De Vahl Davis, M. G. G. (1974). Using the finite element method to determine temperature distributions in orthogonal machining. Proceedings of the Instiution of Mechanical Engineers, 188(1), 627–638.
- Zerilli, F. J., & Armstrong, R. W. (1987). Dislocation-mechanics-based constitutive relations for material dynamics calculations. Journal of Applied Physics, 61(5), 1816–1825.
- Zorev, N. N. (1963). Inter-Relationship Between Shear Processes Occurring Along Tool Face and Shear Plane in Metal Cutting. International Research in Production Engineering, 42–49.
Abstract Views: 229
PDF Views: 0